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Research Papers: Gas Turbines: Turbomachinery

Estimation of the Particle Deposition on a Subsonic Axial Compressor Blade

[+] Author and Article Information
Alessio Suman, Nicola Aldi, Michele Pinelli, Pier Ruggero Spina

Dipartimento di Ingegneria,
Università degli Studi di Ferrara,
Ferrara 44122, Italy

Mirko Morini

Dipartimento di Ingegneria Industriale,
Università degli Studi di Parma,
Parma 43121, Italy

Rainer Kurz

Solar Turbines Incorporated,
San Diego, CA 92123

Klaus Brun

Southwest Research Institute,
San Antonio, TX 78228

Contributed by the Turbomachinery Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received June 19, 2016; final manuscript received June 24, 2016; published online August 30, 2016. Editor: David Wisler.

J. Eng. Gas Turbines Power 139(1), 012604 (Aug 30, 2016) (10 pages) Paper No: GTP-16-1233; doi: 10.1115/1.4034209 History: Received June 19, 2016; Revised June 24, 2016

The quality and purity of the air entering a gas turbine is a significant factor influencing its performance and life. Foulants in the ppm range which are not captured by the air filtration system usually cause deposits on blading, which results in a severe drop in the performance of the compressor. Through the interdisciplinary approach proposed in this paper, it is possible to determine the evolution of the fouling phenomenon through the integration of studies in different research fields: (i) numerical simulation, (ii) power plant characteristics, and (iii) particle-adhesion characteristics. In fact, the size of the particles, their concentrations and adhesion ability, and filtration efficiency represent the major contributors for performing a realistic quantitative analysis of fouling phenomena in an axial compressor. The aim of this work is the estimation of actual deposits on the blade surface in terms of location and quantity. This study combines the impact/adhesion characteristic of the particles obtained through a computational fluid dynamic (CFD) and the real size distribution of the contaminants in the air swallowed by the compressor. The blade zones affected by deposits are clearly reported by using easy-to-use contaminant maps realized on the blade surface, in terms of contaminant mass. The analysis has shown that particular fluid-dynamic phenomena and airfoil shape influence the pattern deposition. The use of a filtration system decreases the contamination of blade and the charge level of electrostatic filters seems to be less important than the air contaminant concentration. From these analyses, some guidelines for proper installation and management of the power plant (in terms of filtration systems and washing strategies) can be drawn up. Characterization of the air contaminants in the power plant location represents the most important step in improving the management of the gas turbine power plant.

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References

Figures

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Fig. 1

Methodology for the evaluation of the overall amount of the deposit on blade surface

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Fig. 2

Mass concentrations of size-segregated particles collected in the Shanghai atmosphere [8]

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Fig. 3

Filtration efficiency values at various particle sizes as a function of the electrostatic charge [11]

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Fig. 8

Contaminant mass on the SS without filtration system

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Fig. 7

Contaminant mass on the PS without filtration system

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Fig. 6

Contaminant mass on the blade surface without filtration system

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Fig. 5

Subdivision of the blade surface: 11 strips with its correspondent average value of the blade span and 12 slices

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Fig. 4

Dangerous index maps: (a) dp = 0.15 μm, (b) dp = 0.25 μm, (c) dp = 0.50 μm, (d) dp = 1.00 μm, and (e) dp = 1.50 μm

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Fig. 15

Overall deposits on the blade surface IW and optimal charge

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Fig. 9

Contaminant mass on the blade surface with filtration system

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Fig. 10

Contaminant mass on the PS with filtration system

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Fig. 11

Contaminant mass on the SS with filtration system

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Fig. 12

Overall deposits on the blade surface without filtration system

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Fig. 13

Overall deposits on the blade surface: IS and poor charge

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Fig. 14

Overall deposits on the blade surface: IS and optimal charge

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Fig. 16

DI versus particle diameter

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